| Ice Dogs | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Daniel Pigeon | Morale : 40 | Team Overall : 62 |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Joshua Roy (R) | X | 100.00 | 53 | 50 | 90 | 66 | 66 | 72 | 38 | 58 | 51 | 64 | 63 | 60 | 50 | 55 | 63 | 0 | 40 | 66 | 0 | 21 | 3 | 867,500$ | ||||
| 2 | Lane Pederson | X | 100.00 | 85 | 65 | 75 | 73 | 65 | 60 | 55 | 58 | 60 | 52 | 61 | 54 | 50 | 66 | 62 | 0 | 40 | 64 | 0 | 27 | 5 | 775,000$ | ||||
| 3 | Jasper Weatherby | X | 100.00 | 66 | 52 | 88 | 73 | 83 | 60 | 55 | 57 | 59 | 50 | 56 | 53 | 44 | 60 | 58 | 0 | 40 | 63 | 0 | 26 | 1 | 775,000$ | ||||
| 4 | Brendan Perlini | X | 100.00 | 58 | 51 | 88 | 73 | 78 | 60 | 55 | 55 | 40 | 50 | 53 | 50 | 39 | 72 | 54 | 0 | 40 | 61 | 0 | 28 | 4 | 750,000$ | ||||
| 5 | Garrett Pilon | X | 100.00 | 51 | 50 | 90 | 73 | 65 | 60 | 55 | 55 | 51 | 50 | 60 | 50 | 31 | 62 | 59 | 0 | 40 | 61 | 0 | 26 | 1 | 750,000$ | ||||
| 6 | Markus Hannikainen | X | 100.00 | 44 | 45 | 55 | 73 | 70 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 63 | 0 | 40 | 58 | 0 | 31 | 1 | 750,000$ | ||||
| 7 | Arnaud Durandeau | X | 100.00 | 51 | 50 | 76 | 73 | 64 | 60 | 55 | 55 | 31 | 50 | 50 | 50 | 30 | 60 | 52 | 0 | 40 | 58 | 0 | 25 | 4 | 750,000$ | ||||
| 8 | Gage Goncalves (R) | X | 100.00 | 57 | 50 | 55 | 63 | 62 | 75 | 30 | 55 | 36 | 50 | 50 | 53 | 30 | 57 | 54 | 0 | 40 | 58 | 0 | 23 | 1 | 775,000$ | ||||
| 9 | Sean Malone | X | 100.00 | 44 | 45 | 55 | 73 | 66 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 61 | 0 | 40 | 58 | 0 | 29 | 3 | 750,000$ | ||||
| 10 | Jayce Hawryluk | X | 100.00 | 44 | 45 | 55 | 73 | 63 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 60 | 0 | 40 | 58 | 0 | 28 | 4 | 750,000$ | ||||
| 11 | Colton White | X | 100.00 | 60 | 51 | 90 | 73 | 67 | 60 | 55 | 56 | 35 | 59 | 50 | 65 | 45 | 70 | 62 | 0 | 40 | 66 | N | 0 | 27 | 5 | 775,000$ | |||
| 12 | Ronnie Attard | X | 100.00 | 65 | 50 | 76 | 63 | 78 | 80 | 30 | 55 | 35 | 55 | 51 | 66 | 32 | 63 | 60 | 0 | 40 | 66 | 0 | 25 | 2 | 775,000$ | ||||
| 13 | Andrej Sekera | X | 100.00 | 56 | 52 | 85 | 75 | 67 | 60 | 55 | 55 | 30 | 50 | 52 | 56 | 43 | 99 | 63 | 0 | 40 | 64 | 0 | 38 | 1 | 4,500,000$ | ||||
| 14 | Ryan Shea (R) | X | 100.00 | 57 | 51 | 90 | 63 | 73 | 73 | 44 | 55 | 40 | 52 | 55 | 66 | 36 | 61 | 58 | 0 | 40 | 64 | N | 0 | 27 | 5 | 775,000$ | |||
| 15 | Mark Friedman | X | 100.00 | 67 | 65 | 70 | 63 | 62 | 72 | 36 | 55 | 40 | 54 | 52 | 63 | 34 | 73 | 59 | 0 | 40 | 64 | 0 | 29 | 3 | 750,000$ | ||||
| 16 | Slater Koekkoek | X | 100.00 | 66 | 52 | 78 | 73 | 72 | 60 | 55 | 55 | 30 | 56 | 50 | 53 | 40 | 78 | 60 | 0 | 40 | 64 | 0 | 30 | 2 | 850,000$ | ||||
| 17 | Nick Blankenburg | X | 100.00 | 64 | 50 | 81 | 63 | 53 | 81 | 30 | 55 | 35 | 50 | 56 | 60 | 35 | 64 | 59 | 0 | 40 | 63 | 0 | 26 | 1 | 825,000$ | ||||
| 18 | Maxwell Crozier (R) | X | 100.00 | 59 | 58 | 75 | 63 | 69 | 78 | 30 | 55 | 35 | 55 | 51 | 56 | 32 | 58 | 58 | 0 | 40 | 62 | 0 | 24 | 2 | 867,500$ | ||||
| 19 | Jack Thompson (R) | X | 100.00 | 60 | 50 | 90 | 63 | 68 | 81 | 30 | 55 | 36 | 50 | 50 | 60 | 30 | 56 | 55 | 0 | 40 | 62 | 0 | 22 | 2 | 867,500$ | ||||
| 20 | Mac Hollowell | X | 100.00 | 47 | 50 | 81 | 73 | 52 | 60 | 55 | 55 | 31 | 59 | 50 | 54 | 30 | 61 | 60 | 0 | 40 | 61 | 0 | 26 | 1 | 750,000$ | ||||
| 21 | Nelson Nogier | X | 100.00 | 44 | 45 | 55 | 73 | 71 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 60 | 0 | 40 | 59 | 0 | 28 | 4 | 750,000$ | ||||
| 22 | Ryan Murphy | X | 100.00 | 44 | 45 | 55 | 77 | 61 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 63 | 0 | 40 | 59 | 0 | 31 | 1 | 825,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 56 | 51 | 75 | 70 | 67 | 66 | 47 | 55 | 38 | 53 | 53 | 55 | 36 | 63 | 59 | 0 | 40 | 62 | ||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jack Campbell | 100.00 | 76 | 36 | 88 | 82 | 55 | 74 | 62 | 55 | 50 | 54 | 65 | 84 | 60 | 0 | 40 | 64 | N | 0 | 32 | 5 | 6,000,000$ |
| 2 | Eric Comrie | 100.00 | 73 | 41 | 87 | 74 | 61 | 66 | 68 | 56 | 51 | 59 | 57 | 75 | 67 | 0 | 40 | 64 | 0 | 29 | 3 | 750,000$ | |
| Scratches | |||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 75 | 39 | 88 | 78 | 58 | 70 | 65 | 56 | 51 | 57 | 61 | 80 | 64 | 0 | 40 | 64 | ||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contrat Signature Date | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Andrej Sekera | Ice Dogs (DAY) | D | 38 | 1986-06-08 | No | 200 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 4,500,000$ | 4,500,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Arnaud Durandeau | Ice Dogs (DAY) | LW | 25 | 1999-01-14 | No | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Brendan Perlini | Ice Dogs (DAY) | LW | 28 | 1996-04-27 | No | 211 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Colton White | Ice Dogs (DAY) | D | 27 | 1997-05-03 | No | 187 Lbs | 6 ft1 | Yes | No | Assign Manually | No | No | 5 | 2024-10-15 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | Yes | Yes | Yes | Yes | - | - | - | - | - | ||
| Eric Comrie | Ice Dogs (DAY) | G | 29 | 1995-07-06 | No | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Gage Goncalves | Ice Dogs (DAY) | C | 23 | 2001-01-16 | Yes | 188 Lbs | 5 ft11 | No | No | Trade (Prospect) | No | No | 1 | 2024-08-08 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Garrett Pilon | Ice Dogs (DAY) | C | 26 | 1998-04-13 | No | 191 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Jack Campbell | Ice Dogs (DAY) | G | 32 | 1992-01-09 | No | 200 Lbs | 6 ft3 | Yes | No | Assign Manually | No | No | 5 | 2024-10-15 | Pro & Farm | 6,000,000$ | 6,000,000$ | 0$ | 0$ | No | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | - | - | - | - | - | Yes | Yes | Yes | Yes | - | - | - | - | - | ||
| Jack Thompson | Ice Dogs (DAY) | D | 22 | 2002-03-19 | Yes | 189 Lbs | 6 ft1 | No | No | Trade (Prospect) | No | No | 2 | 2024-08-08 | Pro & Farm | 867,500$ | 867,500$ | 0$ | 0$ | No | 867,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Jasper Weatherby | Ice Dogs (DAY) | C | 26 | 1998-01-22 | No | 222 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | 2024-09-02 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Jayce Hawryluk | Ice Dogs (DAY) | C | 28 | 1996-01-01 | No | 196 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Joshua Roy | Ice Dogs (DAY) | RW | 21 | 2003-08-06 | Yes | 192 Lbs | 6 ft0 | No | No | Trade (Prospect) | No | No | 3 | 2024-08-08 | Pro & Farm | 867,500$ | 867,500$ | 0$ | 0$ | No | 867,500$ | 867,500$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Lane Pederson | Ice Dogs (DAY) | C | 27 | 1997-08-04 | No | 192 Lbs | 6 ft0 | No | No | N/A | No | No | 5 | 2024-09-02 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Mac Hollowell | Ice Dogs (DAY) | D | 26 | 1998-09-26 | No | 170 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Mark Friedman | Ice Dogs (DAY) | D | 29 | 1995-12-25 | No | 185 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Markus Hannikainen | Ice Dogs (DAY) | LW | 31 | 1993-03-26 | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Maxwell Crozier | Ice Dogs (DAY) | D | 24 | 2000-04-19 | Yes | 197 Lbs | 6 ft1 | No | No | Trade (Prospect) | No | No | 2 | 2024-08-08 | Pro & Farm | 867,500$ | 867,500$ | 0$ | 0$ | No | 867,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Nelson Nogier | Ice Dogs (DAY) | D | 28 | 1996-01-01 | No | 191 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Nick Blankenburg | Ice Dogs (DAY) | D | 26 | 1998-05-12 | No | 177 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | Pro & Farm | 825,000$ | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Ronnie Attard | Ice Dogs (DAY) | D | 25 | 1999-03-20 | No | 208 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | 2024-09-02 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Ryan Murphy | Ice Dogs (DAY) | D | 31 | 1993-03-31 | No | 185 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 825,000$ | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Ryan Shea | Ice Dogs (DAY) | D | 27 | 1997-02-11 | Yes | 200 Lbs | 6 ft2 | Yes | No | Assign Manually | No | No | 5 | 2024-10-15 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | Yes | Yes | Yes | Yes | - | - | - | - | - | ||
| Sean Malone | Ice Dogs (DAY) | RW | 29 | 1995-01-01 | No | 197 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Slater Koekkoek | Ice Dogs (DAY) | D | 30 | 1994-02-18 | No | 193 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 24 | 27.42 | 194 Lbs | 6 ft1 | 2.67 | 1,156,354$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 34 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 26 | 1 | 2 | 2 | |||
| 4 | Markus Hannikainen | 10 | 1 | 2 | 2 | ||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 34 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 26 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | |||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | |||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | 49 | 1 | 2 | 2 | |||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , Ryan Murphy, | Ryan Murphy, | |
| Penalty Shots |
|---|
| , , , , |
| Goalie |
|---|
| #1 : , #2 : |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 0 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
|---|
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 2000 | 1000 |
| Ticket Price | 35 | 0 |
| Attendance | 0% | 0% |
| Attendance PCT | 0% | 0% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity | 0 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 0$ | 0$ | 0$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 0$ |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
